Tag: confounding
-
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding arXiv:2503.20546v1 Announce Type: new Abstract: We consider the problem of estimating the expected causal effect $E[Y|do(X)]$ for a target variable $Y$ when treatment $X$ is set by intervention, focusing on continuous random variables. In settings without selection bias or confounding, $E[Y|do(X)] =…
-
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling arXiv:2503.09194v1 Announce Type: new Abstract: Unbiased data synthesis is crucial for evaluating causal discovery algorithms in the presence of unobserved confounding, given the scarcity of real-world datasets. A common approach, implicit parameterization, encodes unobserved confounding by modifying the off-diagonal entries of the…